Due to its ability to help build and maintain safe, secure settings, video surveillance is widely used across all economic sectors. The ability of surveillance to go beyond passive monitoring has been used in recent years by intelligence video content analytics technology, which may identify specific types of actions to help reduce risks.
However, conventional analytics cannot comprehend what is occurring in any particular case. For example, two people who are physically close to each other, shifting from foot to foot and occasionally touching, may be hugging, dancing, or fighting. They can only be detected by conventional analytics, which cannot identify their goals. In light of this, let’s look at some of the most critical behaviors currently detectable by the most advanced video analytics.
As already established, there are several reasons why two people fighting could appear in analytics as connected to other actions. Advanced behavioral analytics enables differentiation between these actions and actual fighting, which is defined as at least two people striking each other. When the software solutions detect a hit, the hands move toward the other person, make contact, and then release it.
The majority of actions that occur at large gatherings of people are not violent. There is no denying this reality. A very advanced behavioral recognition system can learn to detect suspicious behavior that could escalate into violent action in a crowd.
For instance, when a significant number of people in a group begin pushing or acting aggressively for a predetermined amount of time, artificial intelligence-based video content analytics that anticipate violent behavior sound a warning. It is possible to take such action before the unrest becomes a disturbance.
With video content analytics, businesses can better analyze and forecast customer behavior. If appropriately gathered and disseminated, data from your company’s video surveillance system can enhance operations and the overall customer experience.
Small businesses can now collect customer data to understand their behavior better and bridge the gap between strategy, actions, and results, thanks to video analytics and artificial intelligence. By recognizing and responding to customer behavior, businesses can boost sales, make shopping more enjoyable, and improve the overall customer experience. To get the most out of video content analytics, you need to invest in the right solution.